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Quality Estimation for Machine Translation

evaluation metrics are faced with the challenge that multiple good (and bad) quality outputs can be produced by text-to-text approaches for the same;

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The Human Factor in Machine Translation

intervention is the best way to ensure the translation quality of machine translation. This volume explores the role of a human translator in machine;

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The Human Factor in Machine Translation

intervention is the best way to ensure the translation quality of machine translation. This volume explores the role of a human translator in machine;

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Quality Assurance and Assessment Practices in Translation and Interpreting

suggesting criteria for professional quality control. Featuring coverage on a broad range of topics such as quality management, translation tests;

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Translation Quality Assessment

machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation;

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Perspectives on Translation Quality

The volume is a collection of papers that deal with the issue of translation quality from a number of perspectives. It addresses the;

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Density Ratio Estimation in Machine Learning

to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence;

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Density Ratio Estimation in Machine Learning

to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence;

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Learning Machine Translation

of multiple Machine Translation outputs in order to improve overall translation quality. Contributors Srinivas Bangalore, Nicola Cancedda, Josep M;

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Example-Based Machine Translation

discussed about Example-Based approach of Machine Translation for English-Bengali language pair. The author wrote this book from his industry level;

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Translator's Handbook

; Organisations for translators; Working procedures, quality and quality assurance; Providing quality and value; Educating the client; Raising the profile;

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Using Comparable Corpora for Under Resourced Areas of Machine Translation

translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the;

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Statistical Machine Translation

explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and;

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Thermal Deformation In Machine Tools

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;

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Distortion Constraints in Statistical Machine Translation

in the quality of the translation.;

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Advantages of System Combination for Spoken Language Translation

independently of each other. This work explains how a significant improvement of speech translation quality can be obtained by enhancing the interface;

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Neural Machine Translation

language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation;

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Machine Translation and Global Research

for scholars and librarians in the digital age. For scholars, they explain how machine translation works, how it is (or could be) used for;

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Machine Translation and Global Research

publication perdition? Here Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for;

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Translation versus Machine Translation Post-editing

Given that language students currently use free online raw machine translation output for their foreign language written assignments, we;

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Machine Translation

This book constitutes the refereed proceedings of the 15th China Conference on Machine Translation, CCMT 2019, held in Nanchang, China;

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Machine Translation

This book constitutes the refereed proceedings of the 16th China Conference on Machine Translation, CCMT 2020, held in Hohhot, China;

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Joint Training for Neural Machine Translation

monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based;

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Explorations in Empirical Translation Process Research

between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual;

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Machine Learning in Translation Corpora Processing

dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the;

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Machine Learning in Translation Corpora Processing

dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the;

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Dimension-Based Quality Analysis and Prediction for Videotelephony

the underlying quality dimensions and describes a method for subjective evaluation as well as the instrumental estimation of video quality;

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